2018 Volume 55 Issue 1 Pages 25-34
A numerical interpretation of topographic auxiliary maps was carried out through detection of slope breaks corresponding to the convex and concave breaks of slope, in order to reduce the personal bias in photo- and map-interpretation. The average and standard deviation of slope value was calculated by using LiDAR data, and a threshold zone was determined by linear discriminant analysis based on two parameters of the selected slopes with typical topographic features. Then, the lattice points within the threshold zone were defined as break points, and the break points were classified to the approximated convex or concave break points of slope by the slope value and the direction. The results by this method were generally concordant with the obvious breaks of slope, which were interpreted by technical experts and were confirmed in the field. In addition, the results showed high objectivity based on numerical interpretation for the unclear breaks, which differ from the each expert. The result showed that it was including landform other than the break points. However, it indicated this method was usefulness to make infallible detection.
